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IJCAI
2007
13 years 9 months ago
Graph-Based Semi-Supervised Learning as a Generative Model
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
Jingrui He, Jaime G. Carbonell, Yan Liu 0002
CORR
2006
Springer
160views Education» more  CORR 2006»
13 years 7 months ago
On Conditional Branches in Optimal Search Trees
A commonly used type of search tree is the alphabetic binary tree, which uses (without loss of generality) "less than" versus "greater than or equal to" tests ...
Michael B. Baer
ICIP
2003
IEEE
14 years 9 months ago
Shape-adaptive tarp coding
An embedded wavelet coder is proposed for arbitrarily shaped image objects. Contrary to the popular approach of considering transparent regions surrounding image objects as perman...
James E. Fowler
TROB
2008
136views more  TROB 2008»
13 years 7 months ago
Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words
Abstract--In robotic applications of visual simultaneous localization and mapping techniques, loop-closure detection and global localization are two issues that require the capacit...
Adrien Angeli, David Filliat, Stéphane Donc...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 1 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore